Artificial intelligence company Anthropic announced this week that it would delay the full release of its next-generation model, Mythos, due to cybersecurity concerns. The company stated that the model's capabilities are so powerful they could potentially be exploited by non-experts to discover and leverage vulnerabilities in mainstream operating systems. As an alternative, Anthropic launched "Project Glasswing," providing access to Claude Mythos Preview exclusively to 11 institutions, including Google, Microsoft, Amazon Web Services, JPMorgan Chase, and Nvidia, for testing purposes. The announcement quickly drew market attention and significant concern from U.S. financial regulators. Reports indicate government officials, including Jerome Powell, have met with senior banking executives to discuss potential cyber risks. However, industry perspectives on the actual threat posed by Mythos remain divided. AI scholar Gary Marcus described such claims as "exaggerated," arguing the model represents incremental improvement rather than breakthrough progress. Yann LeCun also publicly questioned the intensity of the promotional campaign, noting similar vulnerability analysis capabilities can already be achieved with smaller models. Conversely, security experts adopted a more cautious stance. ESET expert Jake Moore found the model "impressive" while highlighting how it reflects Anthropic's brand strategy prioritizing safety first. Palisade Research policy lead Dave Kasten pointed out that competing companies' models may soon catch up, suggesting any competitive advantage might not be secure. Some viewpoints further emphasized the coexistence of risk and opportunity. Investor David Sacks warned against dismissing potential threats but cautioned enterprises against excessive marketing using these issues. Meanwhile, Deep Future partner Pablos Holman argued that AI will simultaneously strengthen defensive capabilities, offering overall prospects for improved cybersecurity. Overall, the Mythos incident underscores both the complex implications of cutting-edge AI technologies in the security domain and reveals persistent divisions within the industry regarding risk assessment versus commercial narratives.